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Simon Mak

Assistant Professor of Statistical Science
Statistical Science
214 Old Chemistry, Box 90251, Durham, NC 27708-0251
214 Old Chemistry, Box 90251, Durham, NC 27708-0251

Current Appointments & Affiliations


Assistant Professor of Statistical Science · 2019 - Present Statistical Science, Trinity College of Arts & Sciences
Faculty Network Member of the Duke Institute for Brain Sciences · 2020 - Present Duke Institute for Brain Sciences, University Institutes and Centers

Recent Publications


Hard jet substructure in a multistage approach

Journal Article Physical Review C · October 1, 2024 We present predictions and postdictions for a wide variety of hard jet-substructure observables using a multistage model within the jetscape framework. The details of the multistage model and the various parameter choices are described in [Phys. Rev. C 107 ... Full text Cite

SentHYMNent: An Interpretable and Sentiment-Driven Model for Algorithmic Melody Harmonization

Conference Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining · August 24, 2024 Music composition and analysis is an inherently creative task, involving a combination of heart and mind. However, the vast majority of algorithmic music models completely ignore the "heart"component of music, resulting in output that often lacks the rich ... Full text Cite

A misfire-integrated Gaussian process (MInt-GP) emulator for energy-assisted compression ignition (EACI) engines with varying cetane number jet fuels

Journal Article International Journal of Engine Research · July 1, 2024 For energy-assisted compression ignition (EACI) engine propulsion at high-altitude operating conditions using sustainable jet fuels with varying cetane numbers, it is essential to develop an efficient engine control system for robust and optimal operation. ... Full text Cite
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Recent Grants


Collaborative Research: Cost-Efficient and Confident Sampling for Modern Scientific Discovery

ResearchPrincipal Investigator · Awarded by National Science Foundation · 2023 - 2026

New approaches to Bayesian uncertainty quantification for Nuclear Science

ResearchPrincipal Investigator · Awarded by Department of Energy · 2023 - 2025

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Education, Training & Certifications


Georgia Institute of Technology · 2018 M.S.
Georgia Institute of Technology · 2018 Ph.D.
Simon Fraser University · 2013 B.S.

External Links


Personal site